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2. Noninvasive Cardiovascular Risk Assessment of the Asymptomatic Diabetic Patient: The Imaging Council of the American College of Cardiology (vol 9, pg 176, 2016)
- Author
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Budoff, MJ, Raggi, P, Beller, GA, Berman, DS, Druz, RS, Malik, S, Rigolin, VH, Weigold, WG, Soman, P, and Cardiology, Amer Coll
- Subjects
Cardiovascular System & Hematology ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences - Published
- 2016
3. Abstracts of original contributions ASNC 2004 9th annual scientific session September 3-–October 3, 2004 New York, New York
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Abidov, A, Hachamovitch, R, Friedman, JD, Hayes, SW, Kang, X, Cohen, I, Germano, G, Berman, DS, Kjaer, A, Cortsen, A, Federspiel, M, Hesse, B, Holm, S, O’Connor, M, Dhalla, AK, Wong, M-Y, Wang, W-Q, Belardinelli, L, Therapeutics, CV, Epps, A, Dave, S, Brewer, K, Chiaramida, S, Gordon, L, Hendrix, GH, Feng, B, Pretorius, PH, Bruyant, PP, Boening, G, Beach, RD, Gifford, HC, King, MA, Fessler, JA, Hsu, B-L, Case, JA, Gegen, LL, Hertenstein, GK, Cullom, SJ, Bateman, TM, Akincioglu, C, Abidov, A, Nishina, H, Kavanagh, P, Kang, X, Aboul-Enein, F, Yang, L, Hayes, S, Friedman, J, Berman, D, Germano, G, Santana, CA, Rivero, A, Folks, RD, Grossman, GB, Cooke, CD, Hunsche, A, Faber, TL, Halkar, R, Garcia, EV, Hansen, CL, Silver, S, Kaplan, A, Rasalingam, R, Awar, M, Shirato, S, Reist, K, Htay, T, Mehta, D, Cho, J-H, Heo, J, Dubovsky, E, Calnon, DA, Grewal, KS, George, PB, Richards, DR, Hsi, DH, Singh, N, Meszaros, Z, Thomas, JL, Reyes, E, Loong, CY, Latus, K, Anagnostopoulos, C, Underwood, SR, Kostacos, EJ, Araujo, LI, Kostacos, EJ, Araujo, LI, Lewin, HC, Hyun, MC, DePuey, EG, Tanaka, H, Chikamori, T, Igarashi, Y, Harafuji, K, Usui, Y, Yanagisawa, H, Hida, S, Yamashina, A, Nasr, HA, Mahmoud, SA, Dalipaj, MM, Golanowski, LN, Kemp, RA de, Chow, BJ, Beanlands, RS, Ruddy, TD, Michelena, HI, Mikolich, BM, McNelis, P, Decker, WA Van, Stathopoulos, I, Duncan, S- A, Isasi, C, Travin, MI, Kritzman, JN, Ficaro, EP, Corbett, JR, Allison, JS, Weinsaft, JW, Wong, FJ, Szulc, M, Okin, PM, Kligfield, P, Harafuji, K, Chikamori, T, Igarashi, Y, Tanaka, H, Usui, Y, Yanagisawa, H, Hida, S, Ishimaru, S, Yamashima, A, Giedd, KN, Bergmann, SR, Shah, S, Emmett, L, Allman, KC, Magee, M, Van Gaal, W, Kritharides, L, Freedman, B, Abidov, A, Gerlach, J, Akincioglu, C, Friedman, J, Kavanagh, P, Miranda, R, Germano, G, Berman, DS, Hayes, SW, Damera, N, Lone, B, Singh, R, Shah, A, Yeturi, S, Prasad, Y, Blum, S, Heller, EN, Bhalodkar, NC, Koutelou, M, Kollaros, N, Theodorakos, A, Manginas, A, Leontiadis, E, Kouzoumi, A, Cokkinos, D, Mazzanti, M, Marini, M, Cianci, G, Perna, GP, Pai, M, Greenberg, MD, Liu, F, Frankenberger, O, Kokkinos, P, Hanumara, D, Goheen, E, Wu, C, Panagiotakos, D, Fletcher, R, Greenberg, MD, Liu, F, Frankenberger, O, Kokkinos, P, Hanumara, D, Goheen, E, Rodriguez, OJ, Iyer, VN, Lue, M, Hickey, KT, Blood, DK, Bergmann, SR, Bokhari, S, Chareonthaitawee, P, Christensen, SD, Allen, JL, Kemp, BJ, Hodge, DO, Ritman, EL, Gibbons, RJ, Smanio, P, Riva, G, Rodriquez, F, Tricoti, A, Nakhlawi, A, Thom, A, Pretorius, PH, King, MA, Dahlberg, S, Leppo, J, Slomka, PJ, Nishina, H, Berman, DS, Akincioglu, C, Abidov, A, Friedman, JD, Hayes, SW, Germano, G, Petrovici, R, Husain, M, Lee, DS, Nanthakumar, K, Iwanochko, RM, Brunken, RC, DiFilippo, F, Neumann, DR, Bybel, B, Herrington, B, Bruckbauer, T, Howe, C, Lohmann, K, Hayden, C, Chatterjee, C, Lathrop, B, Brunken, RC, Chen, MS, Lohmann, KA, Howe, WC, Bruckbauer, T, Kaczur, T, Bybel, B, DiFilippo, FP, Druz, RS, Akinboboye, OA, Grimson, R, Nichols, KJ, Reichek, N, Ngai, K, Dim, R, Ho, K- T, Pary, S, Ahmed, SU, Ahlberg, A, Cyr, G, Vitols, PJ, Mann, A, Alexander, L, Rosenblatt, J, Mieres, J, Heller, GV, Ahmed, SU, Ahlberg, AW, Cyr, G, Navare, S, O’Sullivan, D, Heller, GV, Chiadika, S, Lue, M, Blood, DK, Bergmann, SR, Bokhari, S, Heston, TF, Heller, GV, Cerqueira, MD, Jones, PG, Bryngelson, JR, Moutray, KL, Gegen, LL, Hertenstein, GK, Moser, K, Case, JA, Zellweger, MJ, Burger, PC, Pfisterer, ME, Mueller-Brand, J, Kang, WJ, Lee, BI, Lee, DS, Paeng, JC, Lee, JS, Chung, J-K, Lee, MC, To, BN, O’Connell, WJ, Botvinick, EH, Duvall, WL, Croft, LB, Einstein, AJ, Fisher, JE, Haynes, PS, Rose, RK, Henzlova, MJ, Prasad, Y, Vashist, A, Blum, S, Sagar, P, Heller, EN, Kuwabara, Y, Nakayama, K, Tsuru, Y, Nakaya, J, Shindo, S, Hasegawa, M, Komuro, I, Liu, Y-H, Wackers, F, Natale, D, DePuey, G, Taillefer, R, Araujo, L, Kostacos, E, Allen, S, Delbeke, D, Anstett, F, Kansal, P, Calvin, JE, Hendel, RC, Gulati, M, Pratap, P, Takalkar, A, Kostacos, E, Alavi, A, Araujo, L, Melduni, RM, Duncan, S-A, Travin, MI, Isasi CR, Rivero, A, Santana, C, Esiashvili, S, Grossman, G, Halkar, R, Folks, RD, Garcia, EV, Su, H, Dobrucki, LW, Chow, C, Hu, X, Bourke, BN, Cavaliere, P, Hua, J, Sinusas, AJ, Spinale, FG, Sweterlitsch, S, Azure, M, Edwards, DS, Sudhakar, S, Chyun, DA, Young, LH, Inzucchi, SE, Davey, JA, Wackers, FJ, Noble, GL, Navare, SM, Calvert, J, Hussain, SA, Ahlberg, AM, Katten, DM, Boden, WE, Heller, GV, Shaw, LJ, Yang, Y, Antunes, A, Botelho, MF, Gomes, C, de Lima, JJP, Silva, ML, Moreira, JN, Simões, S, GonÇalves, L, Providência, LA, Elhendy, A, Bax, JJ, Schinkel, AF, Valkema, R, van Domburg, RT, Poldermans, D, Arrighi, J, Lampert, R, Burg, M, Soufer, R, Veress, AI, Weiss, JA, Huesman, RH, Gullberg, GT, Moser, K, Case, JA, Loong, CY, Prvulovich, EM, Reyes, E, Aswegen, A van, Anagnostopoulos, C, Underwood, SR, Htay, T, Mehta, D, Sun, L, Lacy, J, Heo, J, Brunken, RC, Kaczur, T, Jaber, W, Ramakrishna, G, Miller, TD, O’connor, MK, Gibbons, RJ, Bural, GG, Mavi, A, Kumar, R, El-Haddad, G, Srinivas, SM, A Alavi, El-Haddad, G, Alavi, A, Araujo, L, Thomas, GS, Johnson, CM, Miyamoto, MI, Thomas, JJ, Majmundar, H, Ryals, LA, Ip, ZTK, Shaw, LJ, Bishop, HA, Carmody, JP, Greathouse, WG, Yanagisawa, H, Chikamori, T, Tanaka, H, Usui, Y, Igarashi, U, Hida, S, Morishima, T, Tanaka, N, Takazawa, K, Yamashina, A, Diedrichs, H, Weber, M, Koulousakis, A, Voth, E, Schwinger, RHG, Mohan, HK, Livieratos, L, Gallagher, S, Bailey, DL, Chambers, J, Fogelman, I, Sobol, I, Barst, RJ, Nichols, K, Widlitz, A, Horn, E, Bergmann, SR, Chen, J, Galt, JR, Durbin, MK, Ye, J, Shao, L, Garcia, EV, Mahenthiran, J, Elliott, JC, Jacob, S, Stricker, S, Kalaria, VG, Sawada, S, Scott, JA, Aziz, K, Yasuda, T, Gewirtz, H, Hsu, BL, Moutray, K, Udelson, JE, Barrett, RJ, Johnson, JR, Menenghetti, C., Taillefer, R, Ruddy, T, Hachamovitch, R, Jenkins, SA, Massaro, J, Haught, H, Lim, CS, Underwood, R, Rosman, J, Hanon, S, Shapiro, M, Schweitzer, P, VanTosh, A, Jones, S, Harafuji, K, Giedd, K N, Johnson, N P, Berliner, J I, Sciacca, R R, Chou, R L, Hickey, K T, Bokhari, S S, Rodriguez, O, Bokhari, S, Moser, KW, Moutray, KL, Koutelou, M, Theodorakos, A, Kollaros, N, Manginas, A, Leontiadis, E, Cokkinos, D, Mazzanti, M, Marini, M, Cianci, G, Perna, GP, Nanasato, M, Fujita, H, Toba, M, Nishimura, T, Nikpour, M, Urowitz, M, Gladman, D, Ibanez, D, Harvey, P, Floras, J, Rouleau, J, Iwanochko, R, Pai, M, Guglin, ME, Ginsberg, FL, Reinig, M, Parrillo, JE, Cha, R, Merhige, ME, Watson, GM, Oliverio, JG, Shelton, V, Frank, SN, Perna, AF, Ferreira, MJ, Ferrer-Antunes, AI, Rodrigues, V, Santos, F, Lima, J, Cerqueira, MD, Magram, MY, Lodge, MA, Babich, JW, Dilsizian, V, Line, BR, Bhalodkar, NC, Lone, B, Singh, R, Prasad, Y, Yeturi, S, Blum, S, Heller, EN, Rodriguez, OJ, Skerrett, D, Charles, C, Shuster, MD, Itescu, S, Wang, TS, Bruyant, PP, Pretorius, PH, Dahlberg, S, King, MA, Petrovici, R, Iwanochko, RM, Lee, DS, Emmett, L, Husain, M, Hosokawa, R, Ohba, M, Kambara, N, Tadamura, E, Kubo, S, Nohara, R, Kita, T, Thompson, RC, McGhie, AI, O’Keefe, JH, Christenson, SD, Chareonthaitawee, P, Kemp, BJ, Jerome, S, Russell, TJ, Lowry, DR, Coombs, VJ, Moses, A, Gottlieb, SO, Heiba, SI, Yee, G, Coppola, J, Elmquist, T, Braff, R, Youssef, I, Ambrose, JA, Abdel-Dayem, HM, Canto, J, Dubovsky, E, Scott, J, Terndrup, TE, Faber, TL, Folks, RD, Dim, UR, Mclaughlin, J, Pollepalle, D, Schapiro, W, Wang, Y, Akinboboye, O, Ngai, K, Druz, RS, Polepalle, D, Phippen-Nater, B, Leonardis, J, and Druz, R
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- 2004
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4. 10th Annual scientific session September 29–October 2, 2005 Seattle, Washington
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Hacker, M, Jakobs, T, Matthiesen, F, Vollmar, C, Nikolaou, K, Becker, C, Knez, A, Pfluger, T, Tiling, R, Hahn, K, Iwanochko, RM, Petrovici, R, Lee, DS, Husain, M, Woo, A, Siu, S, Masry, HZ El, Jaradat, Z, Khan, BR, Kalaria, VG, Mahenthiran, J, Raiesdana, A, Sawada, SG, Shah, DP, Virnich, DE, Ward, RP, Gundeck, EL, Williams, KA, Spencer, KT, Lang, RM, Akutsu, Y, Gewirtz, H, Gregory, SA, Zervos, GD, Thomas, GS, Yasuda, T, Duvall, WL, Croft, LB, Pungoti, C, Henzlova, MJ, Hage, FG, Heo, J, Iskandrian, AE, Johnson, NP, Leonard, SM, Kansal, P, Wu, E, Holly, TA, Michelena, HI, Stepnowski, D, Frain, V, Dempsey, DT, Kowalski, C, Van Decker, WA, Smanio, P, Rodrigues, F, Meneghelo, R, Mastrocolla, L, Thorn, A, Piegas, L, Beraldo, P, Mello, R, Tebexreni, S, ten Cate, TJF, Visser, FC, Panhuyzen-Goedkoop, NM, Verzijlbergen, JF, van Hemel, NM, Thompsen, J, Athar, H, Sainani, V, O’Sullivan, D, Leka, I, Heller, GV, Jansen, M, Grasman, M, Stier, A, Konnann, O, Silva, JA, Vitola, JV, Cunha, C, Cerci, MS, Ribeiro, OF, Jansen, MHA, Grasman, ME, Zukovski, T, Mickevicz, C, Visser, F, Snyder, K, Polepalle, D, Nichols, KJ, Dim, U, Akinboboye, OO, Vijay Anand, D, Lim, E, Nagar, K, Raval, U, Lahiri, A, Elhendy, A, Huurman, A, Schinkel, AF, Bax, JJ, van Domburg, RT, Valkema, R, Poldermans, D, Heiba, SI, Katzel, JA, Altinyay, E, Milarodovic, R, Castellon, I, Raphael, B, Abdel-Dayem, HA, Coppola, J, Heston, TF, Høilund-Carlsen, PF, Johansen, A, Vach, W, Christensen, HW, Møldrup, M, Haghfelt, T, Kumar, A, Stricker, S, Das, MK, Oddis, CV, Byrne, D, Myers, JS, Churchwell, AL, Churchwell, KB, Nichols, KJ, Dim, U, Wang, Y, Akinboboye, OO, Bergmann, SR, Druz, RS, Gopal, AS, Borges, A, Ngai, K, Chen, J, Caputlu-Wilson, SF, Shi, H, Galt, JR, Faber, TL, Garcia, EV, Cole, V, Habtemarkos, R, Sun, L, Lacy, J, Kjaer, A, Cortsen, A, Federspiel, M, Holm, S, O’Connor, M, Hesse, B, Lewin, HC, Hyun, MC, Carboni, GP, Tavolozza, M, Fukuzawa, S, Ozawa, S, Inagaki, M, Sugioka, J, Okino, S, Ichikawa, S, Mohart, JM, Fairlamb, JE, Hutter, AJ, Gutierrez, FR, Zheng, J, Lesniak, DM, Gropler, RJ, Woodard, PK, Santana, C, Esteves, FP, Lerakis, S, Halkar, R, Narla, R, Santana, CA, Alvarez, A, Halkar, RK, Chen, S, Yao, Z, Ramrakhiani, S, Safadi, AH, Foltz, JM, Stricker, SL, Williams, AA, Grewal, KS, George, PB, Richards, DR, Calnon, DA, Bhama, A, Goetze, S, Wahl, RL, Elmquist, T, Mazzara, J, Hsu, BL, Moser, KW, Bateman, TM, Stoner, C, Case, JA, Matsumoto, N, Sato, Y, Yoda, S, Muromoto, M, Nalamolu, VRP, Patel, RN, Dias, JK, Kaminski, RJ, Kersey, TW, Robinson, VJB, Oaknin, JH, Shwartz, SC, Pagnanelli, RA, Coleman, RE, Borges-Neto, S, Cullom, SJ, Noble, GL, Masse, M, McGhie, AI, Friedman, JD, Devabhaktuni, M, Hickey, KT, Sciacca, RR, Giedd, KN, Johnson, U, Bokhari, S, Nemirovsky, D, Machac, J, Almeida, D, Kanayama, S, Satake, O, Kajinami, K, Hertenstein, GK, Volker, LL, Verdes, L, Folks, RD, Clements, IP, Mullan, BP, Breen, JF, McGregor, CG, Côté, C, Dumont, M, Lefebvre, J, Poirier, L, Lacourcière, Y, Gupta, R, Aqel, RA, Mehta, D, Clay, MA, Zoghbi, G, Hwang, K-H, Kim, J-H, Choe, W, Kim, N-B, Khateeb, R, Keefer, PM, Vedala, G, Mahajan, NM, Shetty, VS, Thekkott, DT, Hollander, GH, Greengart, AG, Shani, JS, Lichstein, EL, Raza, M, Panjrath, G, Meesala, M, Ghanbarinia, A, Jain, D, Seo, I, Del Priore, E, Almonte, A, Kappes, R, Fedida, A, Ong, K, Kritzman, JN, Dey, S, Corbett, JR, Ficaro, EP, Stowers, SA, Tomlinson, GC, Cunningham, MS, Guilarte, NM, Carrio, I, Lundbye, JB, Katten, D, Ahlberg, A, Boden, WE, Cyr, G, Paiesdana, A, and Murthy, DR
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- 2005
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5. Noninvasive Cardiovascular Risk Assessment of the Asymptomatic Diabetic Patient The Imaging Council of the American College of Cardiology
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Budoff, MJ, Raggi, P, Beller, GA, Berman, DS, Druz, RS, Malik, S, Rigolin, VH, Weigold, WG, Soman, P, and Coll, ICA
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Imaging Council of the American College of Cardiology - Abstract
Increased cardiovascular morbidity and mortality in patients with type 2 diabetes is well established; diabetes is associated with at least a 2-fold increased risk of coronary heart disease. Approximately two-thirds of deaths among persons with diabetes are related to cardiovascular disease. Previously, diabetes was regarded as a "coronary risk equivalent," implying a high 10-year cardiovascular risk for every diabetes patient. Following the original study by Haffner et al., multiple studies from different cohorts provided varying conclusions on the validity of the concept of coronary risk equivalency in patients with diabetes. New guidelines have started to acknowledge the heterogeneity in risk and include different treatment recommendations for diabetic patients without other risk factors who are considered to be at lower risk. Furthermore, guidelines have suggested that further risk stratification in patients with diabetes is warranted before universal treatment. The Imaging Council of the American College of Cardiology systematically reviewed all modalities commonly used for risk stratification in persons with diabetes mellitus and summarized the data and recommendations. This document reviews the evidence regarding the use of noninvasive testing to stratify asymptomatic patients with diabetes with regard to coronary heart disease risk and develops an algorithm for screening based on available data.
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- 2016
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- View/download PDF
6. Precision medicine: Hype or hope?
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Pelter MN and Druz RS
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- Humans, Precision Medicine, Cardiology
- Abstract
In recent years, precision medicine has steadily risen to the forefront of many aspects of medicine, including cardiology [1]. While this field has exponentially expanded and advanced in the last few years, a lot of questions remain regarding exact definition, usage, and clinical applications [2,3]. This review will provide a brief synopsis of the current state of precision medicine, its limitations, future directions, as well as analyze emerging clinical applications in cardiology., (Copyright © 2022 Elsevier Inc. All rights reserved.)
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- 2024
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7. Innovation in Cardiology: The ACC Innovation Program.
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Rumsfeld JS, Shah RU, and Druz RS
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- Cardiovascular Diseases diagnosis, Cardiovascular Diseases mortality, Diffusion of Innovation, Humans, Program Development, Program Evaluation, Quality Improvement, Quality Indicators, Health Care, United States, Cardiology, Cardiovascular Diseases therapy, Delivery of Health Care, Integrated, Societies, Medical, Telemedicine
- Abstract
The last half century has seen extraordinary advances in the field of cardiology, including innovations in medications, diagnostic modalities, and therapeutics. Even so, cardiovascular disease remains the leading cause of morbidity and mortality globally, with suboptimal quality of care, inconsistent health outcomes, and unsustainable costs. It is clear that cardiovascular medicine must undergo a digital transformation to enhance the delivery of quality care and to improve outcomes. To meet this need, the American College of Cardiology developed an innovation program focused on the digital transformation of cardiovascular care, with the goal of improving heart health for individuals and populations., Competing Interests: Conflict of Interest Disclosure: Dr. Rumsfeld is the chief innovation officer and chief science officer for the American College of Cardiology. Dr. Shah is a consultant for and/or conducts research on behalf of the National Institutes of Health, American Heart Association, the National Heart, Lung and Blood Institute, Women as One, Doris Duke Charitable Foundation, and the American College of Cardiology., (© 2020 Houston Methodist Hospital Houston, Texas.)
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- 2020
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8. Going beyond the obvious: Predicting cardiac events in renal disease.
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Swarup S, Zeltser R, and Druz RS
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- Humans, Prognosis, Renal Insufficiency, Chronic, Tomography, Emission-Computed, Single-Photon
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- 2018
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9. Comparative efficiency of exercise stress testing with and without stress-only myocardial perfusion imaging in patients with low-risk chest pain.
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Amirian J, Javdan O, Misher J, Diamond J, Raio C, Rudolph G, and Druz RS
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- Adult, Aged, Chest Pain physiopathology, Clinical Observation Units, Female, Humans, Male, Middle Aged, Myocardial Perfusion Imaging economics, Retrospective Studies, Chest Pain diagnostic imaging, Exercise Test economics, Myocardial Perfusion Imaging methods
- Abstract
Objectives: To compare major adverse cardiac event (MACE), downstream resource utilization, and direct cost of care for low-risk chest pain patients observed in the clinical decision unit (CDU) with exercise treadmill testing (ETT) and with stress-only myocardial perfusion imaging (sMPI)., Background: CDUs are poised to increase efficiency and resource utilization. However, the optimal testing strategy that would assure favorable outcomes while decreasing cost is not defined., Methods: 1016 subjects from 2 locations were propensity score-matched (PSM) by age, gender, pre-test likelihood, Duke treadmill score, and test results. Outcomes were length of stay >24 hours, MACE (acute coronary syndrome, revascularization, cardiac death), downstream resource use (admission for chest pain, repeat testing, angiography), and mean direct cost per patient., Results: PSM yielded 680 patients (340 matches). 98% of all tests were normal. 96.6% of patients were discharged from the CDU within 24 hours but twice as many exceeded 24 hours in the sMPI group. There were no cardiac deaths. MACE rate was 1.47% at 72 hours and 1% at 1 year. Downstream resource use was 4.82% at 72 hours, and 7.69% at 1 year. The sMPI group was event-free longer than the ETT group reflecting less repeat testing. The mean direct cost was 30% higher for sMPI ($3168.70) vs. ETT ($2226.96)., Conclusion: Low-risk chest pain patients in the observation unit had low MACE rate, not different for ETT vs. sMPI. The majority of ETT and sMPI tests were normal. The sMPI reduced additional testing, but resulted in greater expense and longer stay.
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- 2018
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10. Downstream resource utilization following SPECT: Impact of age and gender.
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Zeltser R, Tortez LM, Druz RS, Kozikowski A, Makaryus AN, Lesser M, and Pekmezaris R
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- Aged, Aged, 80 and over, Exercise Test, Female, Humans, Male, Middle Aged, Regression Analysis, Retrospective Studies, Risk Assessment, Age Factors, Coronary Angiography, Coronary Artery Disease diagnostic imaging, Myocardial Perfusion Imaging, Sex Factors, Tomography, Emission-Computed, Single-Photon
- Abstract
Background: Previous studies have identified a downstream referral age and gender bias for invasive coronary anatomy evaluation after single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI). The present study evaluates if such bias still persists despite advancements in SPECT MPI and angiography. We hypothesized that women and patients ≥80 years old are less likely to undergo invasive coronary angiography after adjusting for clinical and scan variables., Methods: Patients (n = 3824) who referred to a nuclear cardiology laboratory at a tertiary medical center were retrospectively identified. Regression analysis tested age (<55; 55-69; 70-79; ≥80 years) and gender as predictors of diagnostic angiogram at 90 days post-SPECT after adjustment for known CAD, CAD risk equivalent, SSS, SDS, and LVEF., Results: Younger patients were more likely to undergo an angiogram as compared to octogenarians (77% more likely if <55 years old, 69% if 55-69 years old, and 52% if 70-79 years old). No effect was found for gender., Conclusions: Older patients were less likely to be referred for angiogram as compared to their younger counterparts. Further study is needed to determine which factors guide this decision-making process in older adults and the influence of these factors on the referral bias.
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- 2017
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11. The feminine mystique of AUC.
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Druz RS
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- Area Under Curve, Female, Humans, Tomography, Emission-Computed, Single-Photon, Myocardial Perfusion Imaging
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- 2016
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12. Noninvasive Cardiovascular Risk Assessment of the Asymptomatic Diabetic Patient: The Imaging Council of the American College of Cardiology.
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Budoff MJ, Raggi P, Beller GA, Berman DS, Druz RS, Malik S, Rigolin VH, Weigold WG, and Soman P
- Subjects
- Algorithms, Asymptomatic Diseases, Cardiovascular Diseases etiology, Cardiovascular Diseases mortality, Cardiovascular Diseases therapy, Clinical Protocols, Diabetes Complications etiology, Diabetes Complications mortality, Diabetes Complications therapy, Female, Humans, Male, Practice Guidelines as Topic, Predictive Value of Tests, Prognosis, Risk Assessment, Risk Factors, Sex Factors, United States, Cardiology, Cardiovascular Diseases diagnosis, Diabetes Complications diagnosis, Diagnostic Imaging methods, Exercise Test, Societies, Medical
- Abstract
Increased cardiovascular morbidity and mortality in patients with type 2 diabetes is well established; diabetes is associated with at least a 2-fold increased risk of coronary heart disease. Approximately two-thirds of deaths among persons with diabetes are related to cardiovascular disease. Previously, diabetes was regarded as a "coronary risk equivalent," implying a high 10-year cardiovascular risk for every diabetes patient. Following the original study by Haffner et al., multiple studies from different cohorts provided varying conclusions on the validity of the concept of coronary risk equivalency in patients with diabetes. New guidelines have started to acknowledge the heterogeneity in risk and include different treatment recommendations for diabetic patients without other risk factors who are considered to be at lower risk. Furthermore, guidelines have suggested that further risk stratification in patients with diabetes is warranted before universal treatment. The Imaging Council of the American College of Cardiology systematically reviewed all modalities commonly used for risk stratification in persons with diabetes mellitus and summarized the data and recommendations. This document reviews the evidence regarding the use of noninvasive testing to stratify asymptomatic patients with diabetes with regard to coronary heart disease risk and develops an algorithm for screening based on available data., (Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)
- Published
- 2016
- Full Text
- View/download PDF
13. Wide-beam reconstruction half-time SPECT improves diagnostic certainty and preserves normalcy and accuracy: a quantitative perfusion analysis.
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Druz RS, Phillips LM, Chugkowski M, Boutis L, Rutkin B, and Katz S
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- Algorithms, Female, Humans, Male, Middle Aged, Myocardial Perfusion Imaging methods, Reproducibility of Results, Sensitivity and Specificity, Coronary Artery Disease complications, Coronary Artery Disease diagnostic imaging, Image Enhancement methods, Image Interpretation, Computer-Assisted methods, Tomography, Emission-Computed, Single-Photon methods, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left etiology
- Abstract
Background: Filtered back-projection (FBP) has been a standard in SPECT imaging. Newer iterative reconstruction algorithms have been shown to improve image quality and shorten acquisition time by taking into account statistical nature of raw data and using resolution recovery (RR). Wide-beam reconstruction (WBR) is an iterative algorithm with RR and adaptive noise control. We prospectively investigated outcome of WBR half-time SPECT on diagnostic certainty, accuracy and normalcy by quantitative perfusion analysis in comparison to full-time FBP images., Methods: 434 patients underwent rest (201)Tl/stress (99m)Tc-sestamibi full-time (20 s/stop, FBP) followed by a half-time (10 s/stop, WBR) SPECT. 34 patients underwent an angiogram within 90 days of SPECT. Diagnostic certainty was based on summed stress scores (SSS, 5-point/17 segments): normal if SSS ≤ 1, equivocal if SSS = 2-3, and abnormal if SSS ≥ 4. Perfusion defects were normalized to a percent of total myocardium, and expressed as %LV = defect SSS/maximal SSS × 100% with maximal SSS of 28 for left anterior descending (LAD), and of 20 for right coronary (RCA) and left circumflex (LCX). Change in %LV (Δ%LV = %LV FBP - %LV WBR) was evaluated for diagnostically discordant versus concordant scans., Results: SSS and %LV demonstrated very good correlation. There were significantly fewer equivocal scans with WBR (38 vs 151 FBP, P < .0001). Most discordant scans were equivocal FBP SPECT becoming normal with WBR (123/151). Δ%LV(LAD) for discordant studies was greater for women (5.4% ± 4.2%, P < .001), while Δ%LV(RCA,LCX) (4.4% ± 5.1%, P < .001; 1.2% ± 5.0%, P = .04) were greater for men. Normalcy rate was 91.4% for FBP and WBR with more definitely normal WBR studies (84.5% vs 43.9% for FBP, P < .0001). There were no differences in sensitivity (FBP 84.2%, WBR 81.6%), specificity (FBP 54.6%, WBR 63.6%), and accuracy (FBP, WBR 77.6%)., Conclusion: Quantitative perfusion analysis suggests that adaptive noise control with WBR improves uniformity of myocardium comparing to FBP techniques, and results in improved diagnostic certainty while preserving normalcy and accuracy.
- Published
- 2011
- Full Text
- View/download PDF
14. Clinical evaluation of the appropriateness use criteria for single-photon emission-computed tomography: differences by patient population, physician specialty, and patient outcomes.
- Author
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Druz RS, Phillips LM, and Sharifova G
- Abstract
Objectives. Determine outcome of the 2005 appropriateness use criteria (AUC) for SPECT in a diverse population of patients and physicians. Background. AUC for SPECT were the first cardiology document to identify 52 clinical indications for imaging, 49 of them for stress SPECT. AUC have been proposed as cornerstone of responsible use of perfusion imaging. Methods. 585 consecutive patients undergoing SPECT were evaluated prospectively. Appropriateness was examined for demographic variables, clinical variables, and for physician and patient subgroups. Combined end-point of total mortality, cardiac revascularization, and cardiac admissions at 1 year post SPECT was evaluated. Results. SPECT indications were: appropriate, 63%; uncertain, 20%; inappropriate, 14%; not assigned, 3%. Most appropriate SPECT were observed in patients with known coronary disease (72%), chest pain syndrome (89%), high pre-test likelihood of disease (100%), men (70%), inpatients (72%), and cardiovascular physicians' referrals (69%). End-point was reached in 53 patients (97.4% follow up). Unadjusted event rates were: appropriate (12%), uncertain (7.1%), inappropriate (2.4%) SPECT (P = .01). Conclusion. Appropriateness of SPECT differs in subgroups of patients and physicians. Clinically significant outcomes occur more frequently in the appropriate stress SPECT group. Focused efforts are need for outpatients, asymptomatic patients, women, and non-cardiovascular physicians.
- Published
- 2011
- Full Text
- View/download PDF
15. Current advances in vasodilator pharmacological stress perfusion imaging.
- Author
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Druz RS
- Subjects
- Adenosine adverse effects, Adult, Contraindications, Dipyridamole adverse effects, Exercise Test, Female, Humans, Purines adverse effects, Pyrazoles adverse effects, Coronary Artery Disease diagnostic imaging, Myocardial Perfusion Imaging methods, Radiopharmaceuticals adverse effects, Vasodilator Agents adverse effects
- Abstract
More than 7 million stress perfusion studies are performed in the United States annually, 44% with pharmacological vasodilator stress agents. Both adenosine and dipyridamole are nonselective coronary vasodilators that are commonly used for stress perfusion imaging. These agents are safe and provide an effective means to diagnose coronary artery disease. A newer agent, regadenoson, is an adenosine receptor agonist that is selective for coronary vasodilation. Regadenoson is noninferior to adenosine for the detection of ischemia and is better tolerated by patients. Recent trials such as INSPIRE (Adenosine Sestamibi Post-Infarction Evaluation) and the COURAGE (Results from Clinical Outcomes Utilizing Revascularization and Aggressive Guideline-driven Drug Evaluation) Nuclear Imaging Substudy have established clearly that noninvasive risk stratification with vasodilator testing is an important and appropriate step in guiding medical therapy and invasive coronary intervention.
- Published
- 2009
- Full Text
- View/download PDF
16. Myocardial perfusion and function: single photon emission computed tomography.
- Author
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Hansen CL, Goldstein RA, Akinboboye OO, Berman DS, Botvinick EH, Churchwell KB, Cooke CD, Corbett JR, Cullom SJ, Dahlberg ST, Druz RS, Ficaro EP, Galt JR, Garg RK, Germano G, Heller GV, Henzlova MJ, Hyun MC, Johnson LL, Mann A, McCallister BD Jr, Quaife RA, Ruddy TD, Sundaram SN, Taillefer R, Ward RP, and Mahmarian JJ
- Subjects
- Humans, Practice Patterns, Physicians' standards, United States, Cardiology standards, Nuclear Medicine standards, Practice Guidelines as Topic, Tomography, Emission-Computed, Single-Photon standards, Ventricular Dysfunction, Left diagnostic imaging
- Published
- 2007
- Full Text
- View/download PDF
17. Postischemic stunning after adenosine vasodilator stress.
- Author
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Druz RS, Akinboboye OA, Grimson R, Nichols KJ, and Reichek N
- Subjects
- Aged, California epidemiology, Clinical Trials as Topic, Comorbidity, Exercise Test methods, Exercise Test statistics & numerical data, Gated Blood-Pool Imaging methods, Gated Blood-Pool Imaging statistics & numerical data, Humans, Image Enhancement methods, Male, Prognosis, Risk Assessment methods, Risk Factors, Severity of Illness Index, Sex Distribution, Tomography, Emission-Computed, Single-Photon methods, Tomography, Emission-Computed, Single-Photon statistics & numerical data, Vasodilator Agents, Adenosine, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease epidemiology, Myocardial Stunning diagnostic imaging, Myocardial Stunning epidemiology, Ventricular Dysfunction, Left diagnostic imaging, Ventricular Dysfunction, Left epidemiology
- Abstract
Background: Ischemic left ventricular (LV) dysfunction may occur after exercise but is regarded as uncommon after vasodilator stress. We evaluated the prevalence of LV dysfunction after adenosine stress in relation to reversible perfusion defects and angiographic coronary artery disease (CAD)., Methods and Results: We studied 86 patients referred for clinically indicated adenosine dual-isotope gated single photon emission computed tomography: 43 with 1 or more reversible perfusion defects (reversible defect group) and 43 age- and sex-matched patients with no known CAD and normal LV perfusion and function (control group). Coronary angiography was performed in 36 of 43 patients (84%) in the reversible defect group. Perfusion was interpreted based on 20-segment/5-point summed rest and stress scores. The extent of reversibility was defined by the summed difference score. LV ejection fraction and volumes at rest and 60 minutes after adenosine and segmental wall thickening were quantified by QGS (Cedars-Sinai Medical Center, Los Angeles, Calif). In patients with extensive reversible perfusion defects (summed difference score > or =8), 8 of 25 (32%) demonstrated depressed post-adenosine LV ejection fraction, abnormal segmental wall thickening, end-systolic dilation, and extensive CAD., Conclusion: Adenosine is believed to be less likely than exercise to induce ischemia. However, myocardial stunning occurred in one third of the patients with severe reversible defects, consistent with ischemia.
- Published
- 2004
- Full Text
- View/download PDF
18. Dobutamine stress testing revisited.
- Author
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Druz RS
- Subjects
- Humans, Myocardial Infarction chemically induced, Myocardial Infarction diagnosis, Risk Factors, Coronary Disease diagnosis, Dobutamine adverse effects, Exercise Test methods, Tomography, Emission-Computed, Single-Photon methods
- Published
- 2002
- Full Text
- View/download PDF
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